Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	10105
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	144.0 B

Variable types

Numeric	8
Categorical	6
Boolean	4

Alerts

`pdays` is highly correlated with `previous`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`pdays` is highly correlated with `previous`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`pdays` is highly correlated with `previous`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`job` is highly correlated with `education`	High correlation
`education` is highly correlated with `job`	High correlation
`df_index` is highly correlated with `duration` and 1 other fields	High correlation
`age` is highly correlated with `job` and 1 other fields	High correlation
`job` is highly correlated with `age` and 1 other fields	High correlation
`marital` is highly correlated with `age`	High correlation
`education` is highly correlated with `job`	High correlation
`housing` is highly correlated with `month`	High correlation
`contact` is highly correlated with `month`	High correlation
`day` is highly correlated with `month`	High correlation
`month` is highly correlated with `housing` and 2 other fields	High correlation
`duration` is highly correlated with `df_index` and 1 other fields	High correlation
`pdays` is highly correlated with `poutcome`	High correlation
`poutcome` is highly correlated with `pdays`	High correlation
`deposit` is highly correlated with `df_index` and 1 other fields	High correlation
`df_index` has unique values	Unique
`balance` has 774 (7.7%) zeros	Zeros
`previous` has 7568 (74.9%) zeros	Zeros

Reproduction

Analysis started	2022-09-28 07:31:51.328511
Analysis finished	2022-09-28 07:32:00.382023
Duration	9.05 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	10105
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5627.074715

Minimum	0
Maximum	11161
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	0
5-th percentile	535.2
Q1	2852
median	5684
Q3	8413
95-th percentile	10603.8
Maximum	11161
Range	11161
Interquartile range (IQR)	5561

Descriptive statistics

Standard deviation	3223.261961
Coefficient of variation (CV)	0.5728130733
Kurtosis	-1.192566309
Mean	5627.074715
Median Absolute Deviation (MAD)	2776
Skewness	-0.03073460102
Sum	56861590
Variance	10389417.67
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
7508	1	< 0.1%
7498	1	< 0.1%
7499	1	< 0.1%
7500	1	< 0.1%
7501	1	< 0.1%
7502	1	< 0.1%
7504	1	< 0.1%
7507	1	< 0.1%
7509	1	< 0.1%
Other values (10095)	10095	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
11161	1	< 0.1%
11160	1	< 0.1%
11159	1	< 0.1%
11158	1	< 0.1%
11157	1	< 0.1%
11156	1	< 0.1%
11155	1	< 0.1%
11154	1	< 0.1%
11153	1	< 0.1%
11152	1	< 0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	76
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.89549728

Minimum	18
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	18
5-th percentile	26
Q1	32
median	38
Q3	48
95-th percentile	61
Maximum	95
Range	77
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.73493055
Coefficient of variation (CV)	0.286949208
Kurtosis	0.6572927811
Mean	40.89549728
Median Absolute Deviation (MAD)	8
Skewness	0.8677036244
Sum	413249
Variance	137.7085951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	459	4.5%
32	432	4.3%
34	432	4.3%
33	431	4.3%
35	429	4.2%
30	415	4.1%
36	393	3.9%
37	334	3.3%
38	319	3.2%
39	317	3.1%
Other values (66)	6144	60.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	8	0.1%
19	13	0.1%
20	19	0.2%
21	29	0.3%
22	48	0.5%
23	64	0.6%
24	89	0.9%
25	162	1.6%
26	220	2.2%
27	221	2.2%

Value	Count	Frequency (%)
95	1	< 0.1%
93	2	< 0.1%
92	2	< 0.1%
90	2	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	3	< 0.1%
86	4	< 0.1%
85	3	< 0.1%
84	2	< 0.1%

job
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

management	2315
blue-collar	1807
technician	1638
admin.	1246
services	868
Other values (6)	2231

Length

Max length	13
Median length	12
Mean length	9.36091044
Min length	6

Characters and Unicode

Total characters	94592
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	admin.
2nd row	admin.
3rd row	technician
4th row	services
5th row	admin.

Common Values

Value	Count	Frequency (%)
management	2315	22.9%
blue-collar	1807	17.9%
technician	1638	16.2%
admin.	1246	12.3%
services	868	8.6%
retired	663	6.6%
self-employed	358	3.5%
unemployed	332	3.3%
student	326	3.2%
entrepreneur	300	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
management	2315	22.9%
blue-collar	1807	17.9%
technician	1638	16.2%
admin	1246	12.3%
services	868	8.6%
retired	663	6.6%
self-employed	358	3.5%
unemployed	332	3.3%
student	326	3.2%
entrepreneur	300	3.0%

Most occurring characters

Value	Count	Frequency (%)
e	14653	15.5%
n	10410	11.0%
a	9573	10.1%
m	6818	7.2%
l	6469	6.8%
i	6305	6.7%
c	5951	6.3%
t	5568	5.9%
r	4901	5.2%
d	3177	3.4%
Other values (12)	20767	22.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91181	96.4%
Dash Punctuation	2165	2.3%
Other Punctuation	1246	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14653	16.1%
n	10410	11.4%
a	9573	10.5%
m	6818	7.5%
l	6469	7.1%
i	6305	6.9%
c	5951	6.5%
t	5568	6.1%
r	4901	5.4%
d	3177	3.5%
Other values (10)	17356	19.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2165	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1246	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	91181	96.4%
Common	3411	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14653	16.1%
n	10410	11.4%
a	9573	10.5%
m	6818	7.5%
l	6469	7.1%
i	6305	6.9%
c	5951	6.5%
t	5568	6.1%
r	4901	5.4%
d	3177	3.5%
Other values (10)	17356	19.0%

Common

Value	Count	Frequency (%)
-	2165	63.5%
.	1246	36.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14653	15.5%
n	10410	11.0%
a	9573	10.1%
m	6818	7.2%
l	6469	6.8%
i	6305	6.7%
c	5951	6.3%
t	5568	5.9%
r	4901	5.2%
d	3177	3.4%
Other values (12)	20767	22.0%

marital
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

married	5715
single	3213
divorced	1177

Length

Max length	8
Median length	7
Mean length	6.798515586
Min length	6

Characters and Unicode

Total characters	68699
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	married
3rd row	married
4th row	married
5th row	married

Common Values

Value	Count	Frequency (%)
married	5715	56.6%
single	3213	31.8%
divorced	1177	11.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	5715	56.6%
single	3213	31.8%
divorced	1177	11.6%

Most occurring characters

Value	Count	Frequency (%)
r	12607	18.4%
i	10105	14.7%
e	10105	14.7%
d	8069	11.7%
m	5715	8.3%
a	5715	8.3%
s	3213	4.7%
n	3213	4.7%
g	3213	4.7%
l	3213	4.7%
Other values (3)	3531	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68699	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	12607	18.4%
i	10105	14.7%
e	10105	14.7%
d	8069	11.7%
m	5715	8.3%
a	5715	8.3%
s	3213	4.7%
n	3213	4.7%
g	3213	4.7%
l	3213	4.7%
Other values (3)	3531	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68699	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	12607	18.4%
i	10105	14.7%
e	10105	14.7%
d	8069	11.7%
m	5715	8.3%
a	5715	8.3%
s	3213	4.7%
n	3213	4.7%
g	3213	4.7%
l	3213	4.7%
Other values (3)	3531	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	12607	18.4%
i	10105	14.7%
e	10105	14.7%
d	8069	11.7%
m	5715	8.3%
a	5715	8.3%
s	3213	4.7%
n	3213	4.7%
g	3213	4.7%
l	3213	4.7%
Other values (3)	3531	5.1%

education
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

secondary	5517
tertiary	3239
primary	1349

Length

Max length	9
Median length	9
Mean length	8.412469075
Min length	7

Characters and Unicode

Total characters	85008
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	secondary
2nd row	secondary
3rd row	secondary
4th row	secondary
5th row	tertiary

Common Values

Value	Count	Frequency (%)
secondary	5517	54.6%
tertiary	3239	32.1%
primary	1349	13.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
secondary	5517	54.6%
tertiary	3239	32.1%
primary	1349	13.3%

Most occurring characters

Value	Count	Frequency (%)
r	14693	17.3%
a	10105	11.9%
y	10105	11.9%
e	8756	10.3%
t	6478	7.6%
s	5517	6.5%
c	5517	6.5%
o	5517	6.5%
n	5517	6.5%
d	5517	6.5%
Other values (3)	7286	8.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	85008	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	14693	17.3%
a	10105	11.9%
y	10105	11.9%
e	8756	10.3%
t	6478	7.6%
s	5517	6.5%
c	5517	6.5%
o	5517	6.5%
n	5517	6.5%
d	5517	6.5%
Other values (3)	7286	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	85008	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	14693	17.3%
a	10105	11.9%
y	10105	11.9%
e	8756	10.3%
t	6478	7.6%
s	5517	6.5%
c	5517	6.5%
o	5517	6.5%
n	5517	6.5%
d	5517	6.5%
Other values (3)	7286	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	14693	17.3%
a	10105	11.9%
y	10105	11.9%
e	8756	10.3%
t	6478	7.6%
s	5517	6.5%
c	5517	6.5%
o	5517	6.5%
n	5517	6.5%
d	5517	6.5%
Other values (3)	7286	8.6%

default
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 KiB

False	9939
True	166

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	9939	98.4%
True	166	1.6%

balance
Real number (ℝ)

ZEROS

Distinct	2963
Distinct (%)	29.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	807.6535379

Minimum	-2049
Maximum	4063
Zeros	774
Zeros (%)	7.7%
Negative	682
Negative (%)	6.7%
Memory size	79.1 KiB

Quantile statistics

Minimum	-2049
5-th percentile	-87
Q1	95
median	445
Q3	1227
95-th percentile	3040.4
Maximum	4063
Range	6112
Interquartile range (IQR)	1132

Descriptive statistics

Standard deviation	994.1519657
Coefficient of variation (CV)	1.230913899
Kurtosis	1.112528777
Mean	807.6535379
Median Absolute Deviation (MAD)	433
Skewness	1.309601354
Sum	8161339
Variance	988338.1308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	774	7.7%
1	39	0.4%
2	34	0.3%
3	34	0.3%
550	31	0.3%
4	29	0.3%
5	27	0.3%
19	20	0.2%
8	19	0.2%
62	18	0.2%
Other values (2953)	9080	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2049	1	< 0.1%
-1965	1	< 0.1%
-1944	1	< 0.1%
-1701	1	< 0.1%
-1636	1	< 0.1%
-1531	1	< 0.1%
-1489	1	< 0.1%
-1451	1	< 0.1%
-1415	2	< 0.1%
-1386	1	< 0.1%

Value	Count	Frequency (%)
4063	1	< 0.1%
4062	1	< 0.1%
4060	1	< 0.1%
4056	1	< 0.1%
4054	1	< 0.1%
4053	1	< 0.1%
4048	1	< 0.1%
4047	1	< 0.1%
4041	2	< 0.1%
4040	1	< 0.1%

housing
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 KiB

False	5243
True	4862

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5243	51.9%
True	4862	48.1%

loan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 KiB

False	8712
True	1393

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	8712	86.2%
True	1393	13.8%

contact
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

cellular	7283
unknown	2161
telephone	661

Length

Max length	9
Median length	8
Mean length	7.851558634
Min length	7

Characters and Unicode

Total characters	79340
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
cellular	7283	72.1%
unknown	2161	21.4%
telephone	661	6.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cellular	7283	72.1%
unknown	2161	21.4%
telephone	661	6.5%

Most occurring characters

Value	Count	Frequency (%)
l	22510	28.4%
u	9444	11.9%
e	9266	11.7%
c	7283	9.2%
a	7283	9.2%
r	7283	9.2%
n	7144	9.0%
o	2822	3.6%
k	2161	2.7%
w	2161	2.7%
Other values (3)	1983	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79340	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	22510	28.4%
u	9444	11.9%
e	9266	11.7%
c	7283	9.2%
a	7283	9.2%
r	7283	9.2%
n	7144	9.0%
o	2822	3.6%
k	2161	2.7%
w	2161	2.7%
Other values (3)	1983	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79340	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	22510	28.4%
u	9444	11.9%
e	9266	11.7%
c	7283	9.2%
a	7283	9.2%
r	7283	9.2%
n	7144	9.0%
o	2822	3.6%
k	2161	2.7%
w	2161	2.7%
Other values (3)	1983	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	22510	28.4%
u	9444	11.9%
e	9266	11.7%
c	7283	9.2%
a	7283	9.2%
r	7283	9.2%
n	7144	9.0%
o	2822	3.6%
k	2161	2.7%
w	2161	2.7%
Other values (3)	1983	2.5%

day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.59030183

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	15
Q3	22
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.441509961
Coefficient of variation (CV)	0.5414590463
Kurtosis	-1.068760047
Mean	15.59030183
Median Absolute Deviation (MAD)	7
Skewness	0.1323348611
Sum	157540
Variance	71.25909042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
18	493	4.9%
20	492	4.9%
5	449	4.4%
30	430	4.3%
15	426	4.2%
13	419	4.1%
6	413	4.1%
14	408	4.0%
12	403	4.0%
8	394	3.9%
Other values (21)	5778	57.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	109	1.1%
2	290	2.9%
3	286	2.8%
4	364	3.6%
5	449	4.4%
6	413	4.1%
7	359	3.6%
8	394	3.9%
9	334	3.3%
10	148	1.5%

Value	Count	Frequency (%)
31	126	1.2%
30	430	4.3%
29	358	3.5%
28	377	3.7%
27	262	2.6%
26	233	2.3%
25	200	2.0%
24	112	1.1%
23	210	2.1%
22	236	2.3%

month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

may	2617
jul	1418
aug	1385
jun	1104
apr	830
Other values (7)	2751

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30315
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	may
2nd row	may
3rd row	may
4th row	may
5th row	may

Common Values

Value	Count	Frequency (%)
may	2617	25.9%
jul	1418	14.0%
aug	1385	13.7%
jun	1104	10.9%
apr	830	8.2%
nov	780	7.7%
feb	709	7.0%
oct	335	3.3%
jan	319	3.2%
sep	278	2.8%
Other values (2)	330	3.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
may	2617	25.9%
jul	1418	14.0%
aug	1385	13.7%
jun	1104	10.9%
apr	830	8.2%
nov	780	7.7%
feb	709	7.0%
oct	335	3.3%
jan	319	3.2%
sep	278	2.8%
Other values (2)	330	3.3%

Most occurring characters

Value	Count	Frequency (%)
a	5388	17.8%
u	3907	12.9%
m	2854	9.4%
j	2841	9.4%
y	2617	8.6%
n	2203	7.3%
l	1418	4.7%
g	1385	4.6%
o	1115	3.7%
p	1108	3.7%
Other values (9)	5479	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	30315	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5388	17.8%
u	3907	12.9%
m	2854	9.4%
j	2841	9.4%
y	2617	8.6%
n	2203	7.3%
l	1418	4.7%
g	1385	4.6%
o	1115	3.7%
p	1108	3.7%
Other values (9)	5479	18.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30315	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	5388	17.8%
u	3907	12.9%
m	2854	9.4%
j	2841	9.4%
y	2617	8.6%
n	2203	7.3%
l	1418	4.7%
g	1385	4.6%
o	1115	3.7%
p	1108	3.7%
Other values (9)	5479	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30315	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	5388	17.8%
u	3907	12.9%
m	2854	9.4%
j	2841	9.4%
y	2617	8.6%
n	2203	7.3%
l	1418	4.7%
g	1385	4.6%
o	1115	3.7%
p	1108	3.7%
Other values (9)	5479	18.1%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1390
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	368.7426027

Minimum	2
Maximum	3881
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	2
5-th percentile	50
Q1	137
median	252
Q3	490
95-th percentile	1075.8
Maximum	3881
Range	3879
Interquartile range (IQR)	353

Descriptive statistics

Standard deviation	346.6515237
Coefficient of variation (CV)	0.9400907873
Kurtosis	7.797566486
Mean	368.7426027
Median Absolute Deviation (MAD)	142
Skewness	2.19978852
Sum	3726144
Variance	120167.2789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
161	36	0.4%
97	35	0.3%
136	34	0.3%
144	33	0.3%
114	33	0.3%
150	33	0.3%
87	32	0.3%
90	32	0.3%
158	32	0.3%
152	32	0.3%
Other values (1380)	9773	96.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	6	0.1%
7	15	0.1%
8	15	0.1%
9	10	0.1%
10	15	0.1%
11	10	0.1%

Value	Count	Frequency (%)
3881	1	< 0.1%
3284	1	< 0.1%
3253	1	< 0.1%
3183	1	< 0.1%
3102	1	< 0.1%
3094	1	< 0.1%
3076	1	< 0.1%
2775	1	< 0.1%
2770	1	< 0.1%
2769	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	35
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.517169718

Minimum	1
Maximum	43
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	43
Range	42
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.707158757
Coefficient of variation (CV)	1.075477246
Kurtosis	39.56382556
Mean	2.517169718
Median Absolute Deviation (MAD)	1
Skewness	4.937566318
Sum	25436
Variance	7.328708537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
1	4331	42.9%
2	2749	27.2%
3	1192	11.8%
4	696	6.9%
5	347	3.4%
6	239	2.4%
7	126	1.2%
8	117	1.2%
9	64	0.6%
10	47	0.5%
Other values (25)	197	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4331	42.9%
2	2749	27.2%
3	1192	11.8%
4	696	6.9%
5	347	3.4%
6	239	2.4%
7	126	1.2%
8	117	1.2%
9	64	0.6%
10	47	0.5%

Value	Count	Frequency (%)
43	2	< 0.1%
41	1	< 0.1%
33	1	< 0.1%
32	2	< 0.1%
31	1	< 0.1%
30	4	< 0.1%
29	2	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
26	3	< 0.1%

pdays
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	458
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.31964374

Minimum	-1
Maximum	854
Zeros	0
Zeros (%)	0.0%
Negative	7568
Negative (%)	74.9%
Memory size	79.1 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	2
95-th percentile	329
Maximum	854
Range	855
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	109.6441789
Coefficient of variation (CV)	2.136495324
Kurtosis	6.885033932
Mean	51.31964374
Median Absolute Deviation (MAD)	0
Skewness	2.463076113
Sum	518585
Variance	12021.84596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	7568	74.9%
92	88	0.9%
182	77	0.8%
181	75	0.7%
91	74	0.7%
183	68	0.7%
184	40	0.4%
94	39	0.4%
93	38	0.4%
95	33	0.3%
Other values (448)	2005	19.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	7568	74.9%
1	8	0.1%
2	8	0.1%
4	1	< 0.1%
5	2	< 0.1%
6	3	< 0.1%
8	2	< 0.1%
9	7	0.1%
10	3	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
854	1	< 0.1%
842	1	< 0.1%
828	1	< 0.1%
826	1	< 0.1%
805	1	< 0.1%
804	1	< 0.1%
792	1	< 0.1%
784	1	< 0.1%
782	1	< 0.1%
778	1	< 0.1%

previous
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	30
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8162295893

Minimum	0
Maximum	58
Zeros	7568
Zeros (%)	74.9%
Negative	0
Negative (%)	0.0%
Memory size	79.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	5
Maximum	58
Range	58
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.243794521
Coefficient of variation (CV)	2.748974737
Kurtosis	113.4393749
Mean	0.8162295893
Median Absolute Deviation (MAD)	0
Skewness	7.440263081
Sum	8248
Variance	5.034613851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	7568	74.9%
1	796	7.9%
2	612	6.1%
3	391	3.9%
4	223	2.2%
5	147	1.5%
6	107	1.1%
7	66	0.7%
8	58	0.6%
9	28	0.3%
Other values (20)	109	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7568	74.9%
1	796	7.9%
2	612	6.1%
3	391	3.9%
4	223	2.2%
5	147	1.5%
6	107	1.1%
7	66	0.7%
8	58	0.6%
9	28	0.3%

Value	Count	Frequency (%)
58	1	< 0.1%
55	1	< 0.1%
41	1	< 0.1%
37	1	< 0.1%
30	1	< 0.1%
29	1	< 0.1%
27	2	< 0.1%
23	2	< 0.1%
22	1	< 0.1%
20	2	< 0.1%

poutcome
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.1 KiB

unknown	7570
failure	1109
success	945
other	481

Length

Max length	7
Median length	7
Mean length	6.904799604
Min length	5

Characters and Unicode

Total characters	69773
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
unknown	7570	74.9%
failure	1109	11.0%
success	945	9.4%
other	481	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
unknown	7570	74.9%
failure	1109	11.0%
success	945	9.4%
other	481	4.8%

Most occurring characters

Value	Count	Frequency (%)
n	22710	32.5%
u	9624	13.8%
o	8051	11.5%
k	7570	10.8%
w	7570	10.8%
s	2835	4.1%
e	2535	3.6%
c	1890	2.7%
r	1590	2.3%
f	1109	1.6%
Other values (5)	4289	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	69773	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	22710	32.5%
u	9624	13.8%
o	8051	11.5%
k	7570	10.8%
w	7570	10.8%
s	2835	4.1%
e	2535	3.6%
c	1890	2.7%
r	1590	2.3%
f	1109	1.6%
Other values (5)	4289	6.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	69773	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	22710	32.5%
u	9624	13.8%
o	8051	11.5%
k	7570	10.8%
w	7570	10.8%
s	2835	4.1%
e	2535	3.6%
c	1890	2.7%
r	1590	2.3%
f	1109	1.6%
Other values (5)	4289	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69773	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	22710	32.5%
u	9624	13.8%
o	8051	11.5%
k	7570	10.8%
w	7570	10.8%
s	2835	4.1%
e	2535	3.6%
c	1890	2.7%
r	1590	2.3%
f	1109	1.6%
Other values (5)	4289	6.1%

deposit
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.0 KiB

False	5424
True	4681

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5424	53.7%
True	4681	46.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	poutcome	deposit
0	0	59	admin.	married	secondary	no	2343.0	yes	no	unknown	5	may	1042	1	-1	unknown	yes
1	1	56	admin.	married	secondary	no	45.0	no	no	unknown	5	may	1467	1	-1	unknown	yes
2	2	41	technician	married	secondary	no	1270.0	yes	no	unknown	5	may	1389	1	-1	unknown	yes
3	3	55	services	married	secondary	no	2476.0	yes	no	unknown	5	may	579	1	-1	unknown	yes
4	4	54	admin.	married	tertiary	no	184.0	no	no	unknown	5	may	673	2	-1	unknown	yes
5	5	42	management	single	tertiary	no	0.0	yes	yes	unknown	5	may	562	2	-1	unknown	yes
6	6	56	management	married	tertiary	no	830.0	yes	yes	unknown	6	may	1201	1	-1	unknown	yes
7	7	60	retired	divorced	secondary	no	545.0	yes	no	unknown	6	may	1030	1	-1	unknown	yes
8	8	37	technician	married	secondary	no	1.0	yes	no	unknown	6	may	608	1	-1	unknown	yes
9	9	28	services	single	secondary	no	550.0	yes	no	unknown	6	may	1297	3	-1	unknown	yes

Last rows

	df_index	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	deposit
10095	11152	34	housemaid	married	secondary	no	390.0	yes	no	cellular	15	jul	659	3	-1	0	unknown	no
10096	11153	43	admin.	single	secondary	no	35.0	no	no	telephone	9	nov	208	1	-1	0	unknown	no
10097	11154	52	technician	married	tertiary	no	523.0	yes	yes	cellular	8	jul	113	1	-1	0	unknown	no
10098	11155	35	blue-collar	married	secondary	no	80.0	yes	yes	cellular	21	nov	38	2	172	2	failure	no
10099	11156	34	blue-collar	single	secondary	no	-72.0	yes	no	cellular	7	jul	273	5	-1	0	unknown	no
10100	11157	33	blue-collar	single	primary	no	1.0	yes	no	cellular	20	apr	257	1	-1	0	unknown	no
10101	11158	39	services	married	secondary	no	733.0	no	no	unknown	16	jun	83	4	-1	0	unknown	no
10102	11159	32	technician	single	secondary	no	29.0	no	no	cellular	19	aug	156	2	-1	0	unknown	no
10103	11160	43	technician	married	secondary	no	0.0	no	yes	cellular	8	may	9	2	172	5	failure	no
10104	11161	34	technician	married	secondary	no	0.0	no	no	cellular	9	jul	628	1	-1	0	unknown	no

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block